Download CV

Professional Summary

I’m a bioinformatics professional with over 12 years of experience in pharmaceutical research, clinical science and academic settings, specializing in the development, modernization, and support of scientific software solutions and informatics processes. I possess proven expertise in Python, SQL, automating workflows, using high performance, cloud computing platforms, and contributing to AI/ML-enabled drug discovery initiatives. I’m adept at bridging scientific research needs with technical execution, driving data automation, and optimizing underlying databases. In addition, I have demonstrated strong problem-solving, collaboration and communication skills, learning agility, along with a commitment to delivering user-friendly, research-centric solutions within dynamic software ecosystems.

Skills

  • Programming & Scripting: Python, R, Perl, SQL, Bash, Git, RESTful APIs, Docker.
  • Software Development & DevOps: Microservice Architecture, Azure pipelines for CI/CD, Agile Methodologies, Software System Maintenance & Enhancement, Technical Documentation.
  • AI/ML: Hypothesis Testing, Regression Modeling, Classification, Clustering, Imputation, Dimensionality Reduction, Conceptual & Logical Data Modeling, Ontologies.
  • Data Management: Relational Databases (Optimization & Restructuring), Data Registration, Metadata, Master and Reference Data Management, Data Lineage, Data Governance, Information Security, Data Complexity Management.
  • Cloud & HPC: AWS (S3, EC2), Sun Grid Engine, MOAB, LSF.
  • Data Visualization: Streamlit, Shiny, Dash, Tibco Spotfire.
  • Domain Expertise: Bioinformatics, RDKit, Omics Data Integration, Pharmaceutical Research & Development workflows.
  • Languages: English (Native speaker), Danish (Intermediate, passed PD3)

Experience

Senior Technical Data Steward, Novo Nordisk

Maaloev, Denmark | Sep 2023 - Present At Novo Nordisk, I led the development of a microservice application to improve metadata capture for AI/ML-driven drug discovery. I designed and implemented data models for the compound database, authored architectural decision records for modernization efforts, and established data governance standards. I also provided hands-on support in bioinformatics, data visualization, and machine learning, and mentored junior colleagues.

Postdoctoral Researcher, Institute of Biological Psychiatry

Roskilde, Denmark | Apr 2021 - Sep 2023 As a Postdoctoral Researcher, I designed and built a comprehensive bioinformatics data infrastructure for the iPSYCH consortium. I led a research study using machine learning on genetic and transcriptomic data to identify novel genetic features for psychiatric disease research. I also collaborated with clinical researchers to identify and address critical research challenges.

Doctoral Intern in Bioinformatics, Lundbeck A/S

Valby, DK | Aug 2020 - Oct 2020 During my internship at Lundbeck, I contributed to the target discovery phase by providing real-world evidence. I calculated the prevalence of loss-of-function mutations in potential targets for severe migraine, gaining direct experience in biopharma scientific software platforms.

PhD Candidate, Institute of Biological Psychiatry

Roskilde, DK | Jan 2018 - Apr 2021 As a PhD candidate, I led bioinformatics analyses for several research studies. I applied regression modeling and causal inference methods, and empirically estimated the impact of missing data imputation algorithms on genetic risk scores, demonstrating strong analytical and problem-solving skills.

Lead Bioinformatician, Institute of Biological Psychiatry

Roskilde, DK | July 2016 - Dec 2018 In my role as Lead Bioinformatician, I led efforts to improve the quality of large exome sequencing datasets. I addressed data degradation issues and contributed to highly-cited studies, demonstrating my expertise in data analysis and quality improvement.

Bioinformatician, Human Genome Sequencing Center

Houston, TX USA | Mar 2012 – Jun 2016 At the Human Genome Sequencing Center, I developed software and automated workflows to identify candidate causal mutations for pediatric-onset mitochondrial diseases. I integrated evidence from open-source clinical variant repositories and applied machine learning-based variant effect prediction models, leading to a significant increase in the resolution of unsolved cases.

Scientific Programmer, The McDowell Genome Institute

St. Louis, USA | Jan 2010 - Dec 2011 As a Scientific Programmer at The McDowell Genome Institute, I developed software to improve the scaffolding quality of de novo genome assemblies. I delivered these assemblies to the UCSC genome browser and contributed to open-source scientific data repositories.

Education

University of Copenhagen

PhD in Biostatistics and Bioinformatics | Apr 2021

Missouri University of Science and Technology

MS in Electrical and Computer Engineering | Dec 2009

Anna University

BE in Electronics Engineering | May 2006

Awards

Lundbeck Foundation - Postdoctoral Fellowship

Apr 2022

Extracurricular

I’m an avid runner (PRs 10k: 46.01, 5k: 22:30) and I enjoy reading neo-western, classical American, Russian literature when I’m not spending time with my soon to be one-year old daughter. Prior to becoming a dad, I volunteered with the coding pirates branch in Østerbro, teaching programming skills in Python and Javascript to teenagers.